“ The future is ours to shape. I feel we are in a race that we need to win. It’s a race between the growing power of the technology and the growing wisdom we need to manage it. “
~Max Tegmark
Similar to frameworks like Tensorflow, Pytorch, Keras, Caffe which abstract a lot of maths involved in Deep Learning we will be writing our own framework, to better understand how the above mentioned frameworks function.
This is part of an entire series of articles that I have written. The primary reason I wanted to write this article is because I was trying to build my basics in the foundations of Machine Learning, Deep Learning and AI
I have already learnt a lot, but recently I wanted to get into the open source community and also start reading on research. But, to do both of the things mentioned above
NOTE : This is not for complete beginners per say, but instead for the people who are getting into the field and want to deep dive into the nitty-gritty of the algorithms and math that make up the modern AI architectures. For people who are just starting out I would suggest the following Article I wrote specifically for this reason :